Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology. By the logic of the …
B Yao, C Chen, L Zhang, T Feng, B Yu… - … Research Part C …, 2019 - Elsevier
The purpose of this study is to address the allocation of transit lines problem in operation- sharing. An allocation method for urban transit lines is proposed to guide public authorities …
A Tahir, G Desaulniers… - INFORMS Journal on …, 2022 - pubsonline.informs.org
The integral column generation algorithm (ICG) was recently introduced to solve set partitioning problems involving a very large number of variables. This primal algorithm …
The integral simplex using decomposition (ISUD) algorithm was recently developed to solve efficiently set partitioning problems containing a number of variables that can all be …
VM Albornoz, LJ Ñanco, JL Sáez - Computers and Electronics in …, 2019 - Elsevier
This paper considers a management zone delineation problem in a precision agriculture framework that defines a partition of a field into rectangular and homogeneous management …
VM Albornoz, LJ Ñanco - … Management Science: State of the Art 2014, 2016 - Springer
The problem of delineating site-specific management zones in agricultural fields arises in the context of precision agriculture, where the control of variability in soil properties is …
S Rosat, I Elhallaoui, F Soumis, D Chakour - Discrete Applied Mathematics, 2017 - Elsevier
Since its introduction in 1969, the set partitioning problem has received much attention, and the structure of its feasible domain has been studied in detail. In particular, there exists a …
Large-neighbourhood search (LNS) heuristics are important mathematical programming techniques that search for primal feasible solutions by solving an auxiliary problem with a …
Integer programs for resource-constrained project scheduling problems are notoriously hard to solve due to their weak linear relaxations. Several papers have proposed reformulating …